code: def time_synchronized():
      torch.cuda.synchronize() if torch.cuda.is_available() else None
      return time.time()
  
file_path: deep-learning-for-image-processing/pytorch_segmentation/u2net/predict.py
imports: import os
  import time
  import cv2
  import numpy
  import matplotlib.pyplot
  import torch
  from torchvision.transforms import transforms
  from src import u2net_full
label_desc: Use image node_id 1 for calling a global function with example usage: time_synchronized() and returns: time